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Documentation Index

Fetch the complete documentation index at: https://docs.ifalabs.com/llms.txt

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The IFÁ Labs MCP Server exposes the full IFÁ Labs oracle infrastructure through the Model Context Protocol (MCP) — an open standard that lets AI agents, coding assistants, and LLM-powered applications call external tools and data sources directly. In practical terms: instead of writing a contract, running a script, or opening Basescan to check a stablecoin price, you can query IFÁ Labs price feeds conversationally — from Claude, Cursor, Windsurf, TRAE, or any MCP-compatible client — and get verified, live on-chain data back in seconds.

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What MCP Is

Model Context Protocol is an open standard developed by Anthropic that defines how AI models communicate with external tools and data sources. It works like this:
  1. An MCP server exposes a set of named tools — functions with defined inputs and outputs.
  2. An MCP client — a coding assistant, an AI agent, an LLM application — discovers those tools and can call them during a conversation or workflow.
  3. The server executes the tool call, fetches real data, and returns a structured result.
  4. The model uses that result to inform its response.
The result is AI tooling that works with live, verifiable data — not hallucinated values or stale training knowledge.

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What the IFÁ Labs MCP Server Exposes

The IFÁ Labs MCP Server provides direct access to the full oracle infrastructure:
ToolDescription
get_asset_priceFetch the current on-chain price for a single supported asset
get_multiple_pricesFetch prices for multiple assets in a single call
get_derived_pairGet a cross-asset price — e.g. CNGN priced in USDT terms
get_supported_assetsList all currently supported assets and their IDs
get_asset_idResolve a symbol string to its bytes32 asset ID
check_price_freshnessCheck the age of a price feed and whether it meets a given staleness threshold
get_network_infoReturn contract addresses and RPC details for all supported networks
Every tool call reads directly from the deployed on-chain oracle contracts. No cached middleware, no synthetic data, no approximations.

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Who It’s For

Smart contract developers using AI coding assistants can query live prices mid-session — confirming what CNGN/USD is trading at right now, verifying an asset ID before hardcoding it, or checking feed freshness before deploying to mainnet — without leaving their editor. DeFi protocol teams running automated workflows can integrate IFÁ Labs price feeds into agent-based pipelines — monitoring feeds, triggering alerts, or feeding price data into downstream logic — without building a custom integration from scratch. AI application developers building LLM-powered financial tools can ground their applications in verified on-chain stablecoin pricing data, accessed through a standard protocol that works with any MCP-compatible model or framework. Researchers and analysts can query historical and live stablecoin price data conversationally, without writing scripts or navigating block explorers.

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Supported MCP Clients

The IFÁ Labs MCP Server works with any MCP-compatible client:
ClientType
ClaudeAI assistant — Anthropic
CursorAI coding assistant
WindsurfAI coding assistant
TRAEAI coding assistant
ZedAI-powered editor
ContinueOpen-source AI coding assistant
Any MCP-compatible clientCustom agents, LangChain, CrewAI, and other frameworks

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A Practical Example

Here’s what using the IFÁ Labs MCP Server looks like inside an MCP-compatible coding assistant: Developer prompt:
“What is the current CNGN/USD price on Base Mainnet? Is the feed fresh?”
MCP tool calls triggered:
  1. get_asset_price → { asset: "CNGN/USD", network: "base-mainnet" }
  2. check_price_freshness → { asset: "CNGN/USD", max_age_seconds: 3600 }
Result returned to the model: 
{
  "asset": "CNGN/USD",
  "price": "0.000613",
  "raw_price": "613000000000000",
  "decimal": -18,
  "last_updated": "2025-07-31T14:22:11Z",
  "age_seconds": 412,
  "is_fresh": true,
  "network": "base-mainnet"
}
Model response to developer:
The CNGN/USD price on Base Mainnet is currently $0.000613. The feed was last updated 412 seconds ago and is within the 1-hour freshness threshold.
No scripts. No block explorer. No manual RPC calls. Live on-chain data, in the flow of a development conversation.

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Why This Matters for Stablecoin Infrastructure

Most oracle data accessible via AI tools today comes from training data — which has a cutoff date and cannot reflect current market conditions — or from general-purpose web searches that may pull from unreliable sources. The IFÁ Labs MCP Server changes that for stablecoin pricing in emerging markets. It gives any MCP-compatible tool access to the same verified, manipulation-resistant, on-chain price data that production DeFi protocols rely on — with the same trust model, accessed through a standardised interface. For developers building on African, Latin American, or Southeast Asian stablecoins, this means AI tooling that actually knows what CNGN, ZARP, and BRZ are worth right now.

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Next Steps

Installation & Setup

Connect the IFÁ Labs MCP Server to your preferred client in minutes.

Available Tools

Full reference for every tool the MCP server exposes.